Expand description
Rust Persistent Data Structures provides fully persistent data structures with structural sharing.
Setup
To use rpds add the following to your Cargo.toml
:
[dependencies]
rpds = "<version>"
Data structures
This crate offers the following data structures:
List
Your classic functional list.
Example
use rpds::List;
let list = List::new().push_front("list");
assert_eq!(list.first(), Some(&"list"));
let a_list = list.push_front("a");
assert_eq!(a_list.first(), Some(&"a"));
let list_dropped = a_list.drop_first().unwrap();
assert_eq!(list_dropped, list);
Vector
A sequence that can be indexed. The implementation is described in Understanding Persistent Vector Part 1 and Understanding Persistent Vector Part 2.
Example
use rpds::Vector;
let vector = Vector::new()
.push_back("I’m")
.push_back("a")
.push_back("vector");
assert_eq!(vector[1], "a");
let screaming_vector = vector
.drop_last().unwrap()
.push_back("VECTOR!!!");
assert_eq!(screaming_vector[2], "VECTOR!!!");
Stack
A LIFO (last in, first out) data structure. This is just a List
in disguise.
Example
use rpds::Stack;
let stack = Stack::new().push("stack");
assert_eq!(stack.peek(), Some(&"stack"));
let a_stack = stack.push("a");
assert_eq!(a_stack.peek(), Some(&"a"));
let stack_popped = a_stack.pop().unwrap();
assert_eq!(stack_popped, stack);
Queue
A FIFO (first in, first out) data structure.
Example
use rpds::Queue;
let queue = Queue::new()
.enqueue("um")
.enqueue("dois")
.enqueue("tres");
assert_eq!(queue.peek(), Some(&"um"));
let queue_dequeued = queue.dequeue().unwrap();
assert_eq!(queue_dequeued.peek(), Some(&"dois"));
HashTrieMap
A map implemented with a hash array mapped trie. See Ideal Hash Trees for details.
Example
use rpds::HashTrieMap;
let map_en = HashTrieMap::new()
.insert(0, "zero")
.insert(1, "one");
assert_eq!(map_en.get(&1), Some(&"one"));
let map_pt = map_en
.insert(1, "um")
.insert(2, "dois");
assert_eq!(map_pt.get(&2), Some(&"dois"));
let map_pt_binary = map_pt.remove(&2);
assert_eq!(map_pt_binary.get(&2), None);
HashTrieSet
A set implemented with a HashTrieMap
.
Example
use rpds::HashTrieSet;
let set = HashTrieSet::new()
.insert("zero")
.insert("one");
assert!(set.contains(&"one"));
let set_extended = set.insert("two");
assert!(set_extended.contains(&"two"));
let set_positive = set_extended.remove(&"zero");
assert!(!set_positive.contains(&"zero"));
RedBlackTreeMap
A map implemented with a red-black tree.
Example
use rpds::RedBlackTreeMap;
let map_en = RedBlackTreeMap::new()
.insert(0, "zero")
.insert(1, "one");
assert_eq!(map_en.get(&1), Some(&"one"));
let map_pt = map_en
.insert(1, "um")
.insert(2, "dois");
assert_eq!(map_pt.get(&2), Some(&"dois"));
let map_pt_binary = map_pt.remove(&2);
assert_eq!(map_pt_binary.get(&2), None);
assert_eq!(map_pt_binary.first(), Some((&0, &"zero")));
RedBlackTreeSet
A set implemented with a RedBlackTreeMap
.
Example
use rpds::RedBlackTreeSet;
let set = RedBlackTreeSet::new()
.insert("zero")
.insert("one");
assert!(set.contains(&"one"));
let set_extended = set.insert("two");
assert!(set_extended.contains(&"two"));
let set_positive = set_extended.remove(&"zero");
assert!(!set_positive.contains(&"zero"));
assert_eq!(set_positive.first(), Some(&"one"));
Other features
Mutable methods
When you change a data structure you often do not need its previous versions. For those cases rpds offers you mutable methods which are generally faster:
use rpds::HashTrieSet;
let mut set = HashTrieSet::new();
set.insert_mut("zero");
set.insert_mut("one");
let set_0_1 = set.clone();
let set_0_1_2 = set.insert("two");
Initialization macros
There are convenient initialization macros for all data structures:
use rpds::*;
let vector = vector![3, 1, 4, 1, 5];
let map = ht_map!["orange" => "orange", "banana" => "yellow"];
Check the documentation for initialization macros of other data structures.
Thread safety
All data structures in this crate can be shared between threads, but that is an opt-in ability. This is because there is a performance cost to make data structures thread safe. That cost is worth avoiding when you are not actually sharing them between threads.
Of course if you try to share a rpds data structure across different threads you can count on the rust compiler to ensure that it is safe to do so. If you are using the version of the data structure that is not thread safe you will get a compile-time error.
To create a thread-safe version of any data structure use new_sync()
:
let vec = Vector::new_sync()
.push_back(42);
Or use the _sync
variant of the initialization macro:
let vec = vector_sync!(42);
Further details
Internally the data structures in this crate maintain a lot of reference-counting pointers. These pointers are used both for links between the internal nodes of the data structure as well as for the values it stores.
There are two implementations of reference-counting pointers in the standard library:
Rc
and
Arc
. They behave the same way, but
Arc
allows you to share the data it points to across multiple threads. The downside is that
it is significantly slower to clone and drop than Rc
, and persistent data structures do a
lot of those operations. In some microbenchmarks with rpds data structure we can see that
using Rc
instead of Arc
can make some operations twice as fast! You can see this for
yourself by running cargo bench
.
To implement this we parameterize the type of reference-counting pointer (Rc
or Arc
) as a
type argument of the data structure. We use the archery
crate to do this in a convenient way.
The pointer type can be parameterized like this:
let vec: Vector<u32, archery::ArcTK> = Vector::new_with_ptr_kind();
// ↖
// This will use `Arc` pointers.
// Change it to `archery::RcK` to use a `Rc` pointer.
no_std
support
This crate supports no_std
. To enable that you need to disable the default feature std
:
[dependencies]
rpds = { version = "<version>", default-features = false }
Serialization
We support serialization through serde. To use it
enable the serde
feature. To do so change the rpds dependency in your Cargo.toml
to
[dependencies]
rpds = { version = "<version>", features = ["serde"] }
Bindings
Bindings to use rpds from other programming languages exist. Below is a short list of those known to date.
- rpds.py – Python
Please feel free to send a pull request should you add support in a new language.
Re-exports
pub use crate::list::List;
pub use crate::list::ListSync;
pub use crate::map::hash_trie_map::HashTrieMap;
pub use crate::map::hash_trie_map::HashTrieMapSync;
pub use crate::map::red_black_tree_map::RedBlackTreeMap;
pub use crate::map::red_black_tree_map::RedBlackTreeMapSync;
pub use crate::queue::Queue;
pub use crate::queue::QueueSync;
pub use crate::set::hash_trie_set::HashTrieSet;
pub use crate::set::hash_trie_set::HashTrieSetSync;
pub use crate::set::red_black_tree_set::RedBlackTreeSet;
pub use crate::set::red_black_tree_set::RedBlackTreeSetSync;
pub use crate::stack::Stack;
pub use crate::stack::StackSync;
pub use crate::vector::Vector;
pub use crate::vector::VectorSync;
Modules
Macros
- Creates a
HashTrieMap
containing the given arguments: - Creates a
HashTrieMap
that implementsSync
, containing the given arguments: - Creates a
HashTrieSet
containing the given arguments: - Creates a
HashTrieSet
that implementsSync
, containing the given arguments: - Creates a
List
containing the given arguments: - Creates a
List
that implementsSync
, containing the given arguments: - Creates a
Queue
containing the given arguments: - Creates a
Queue
that implementsSync
, containing the given arguments: - Creates a
RedBlackTreeMap
containing the given arguments: - Creates a
RedBlackTreeMap
that implementsSync
, containing the given arguments: - Creates a
RedBlackTreeSet
containing the given arguments: - Creates a
RedBlackTreeSet
containing the given arguments: - Creates a
Stack
containing the given arguments: - Creates a
Stack
that implementsSync
, containing the given arguments: - Creates a
Vector
containing the given arguments: - Creates a
Vector
that implementsSync
, containing the given arguments: